FitBeatDepresso / AI

Model for mood score's prediction

Home Page:https://fit-beat-depresso.herokuapp.com/

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

FitBeat Depresso's AI

Model for mood score's prediction

How it works at this moment:

  • This RNN model will take your avarage time in bed and predict if you are stressful. For example, if you go to bed too late than usual in some days, this might mean you are stressful.

Further development:

  • Examine on other features like calories intake, calories burn, steps, heart rate to determine stress level.

Notices:

  1. Current dataset is fetched from 16 average Fitbit users

References:

  1. Jaret, Peter. “Insomnia and Depression.” WebMD, WebMD, 6 July 2010, www.webmd.com/depression/features/sleep-problems.

Resources:

Model trained on: IBM Watson AI Techology used: Tensorflow, Sklearn

About

Model for mood score's prediction

https://fit-beat-depresso.herokuapp.com/

License:MIT License


Languages

Language:Python 100.0%